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Pseudomonas aeruginosa
42 Downloadable Samples
Affymetrix Pseudomonas aeruginosa Array (paeg1a)
Description
Gene expression of P. aerruginosa changes after short-term exposure to ciprofloxacin at sub-inhibitory concentrations but the effect of long-term exposure which select for the most fitted subpopulations is not known.
Publication Title
The phenotypic evolution of Pseudomonas aeruginosa populations changes in the presence of subinhibitory concentrations of ciprofloxacin.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 47 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
Based on the findings of increased IEL in duodenal biopsies in CVID, an overlap with celiac disease has been suggested. In the present study, increased IEL, in particular in the pars descendens of the duodenum, was one of the most frequent histopathological finding. We therefore examined the gene expression profile in pars descendens of duodenum in CVID patients with increased IEL (n=12, IEL mean 34 [range 22-56] IEL/100 EC), CVID with normal levels of IEL (n=8), celiac disease (n=10, Marsh grade 3a or above) and healthy controls (n=17) by gene expression microarray
Publication Title
A Cross-Sectional Study of the Prevalence of Gastrointestinal Symptoms and Pathology in Patients With Common Variable Immunodeficiency.
Sample Metadata Fields
Specimen part, Disease, Disease stage
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GSE2336- Mus musculus
- 24 Downloadable Samples
- Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)
Description
Goal of experiment: Identification of differentially expressed immune genes from male and female BWF1 lupus-prone mice. (Female incidence is higher than male--attempting to find sex hormone regulated genes that may contribute to this difference). Whole spleen was taken from pre-lupus (4 months old) BWF1 (females are lupus-prone) male and female mice. Preparation of cDNA. Double-stranded cDNA was synthesized from purified RNA. The first strand was synthesized by incubating 5 g of RNA with 100 pg/ml T7-(dT)24 primer (HPLC purified DNA primer sequence: 5-GGCCAGTGAATTGTAATACG ACTCACTATAGGGAGGCGG-(dT)24 -3 Genset Corp, San Diego, CA) at 70C for 10 minutes. Samples were incubated for 1 hour at 42C with the following mix: 1X first strand buffer, 10 mM dithiothreitol, 500 M each dNTP, 200 U SuperScript II in diethylpyrocarbonate (DEPC)-treated water up to 20 l. Second strand synthesis was performed by incubating the first strand with the following mix for 2 hours at 16C: 1X second strand reaction buffer, 200 M dntps, 10 U E. coli DNA ligase, 40 U E coli DNA Polymerase I, 2 U of E. coli RNase H up to 150 l with DEPC-treated water (all reagents were contained in SuperScript Choice System for cDNA Synthesis, Invitrogen). A phenol/chloroform extraction was performed on the ds-cDNA preparation before biotin-labeled cRNA was generated. Synthesis and fragmentation of biotin-labeled cRNA (in vitro transcription). The ENZO BioArrayTM HighYieldTM RNA Transcript Labeling Kit (T7) (Enzo diagnostics, Inc., Farmingdale, NY) was used to produce large amounts of hybridizable biotin-labeled RNA targets by in vitro transcription from the ds-cDNA. The following mix was incubated at 37C for 5 hours: 1 g of ds-cDNA, 1X HY reaction buffer, 1X biotin labeled ribonucleotides, 1X dithiothreitol, 1X T7 RNA Polymerase. Biotin-labeled cRNA was run over RNeasy spin columns (Qiagen), quantified, and run on an agarose gel to visualize the size distribution of labeled transcripts. Twenty micrograms of cRNA was incubated with 1X fragmentation buffer for 35 minutes at 94C. (5X fragmentation buffer: 200 mM Tris-acetate, pH 8.1, 500 mM KOAc, 150 mM MgOAc). After fragmentation, the samples were stored at -20C until the hybridization was performed. Sample hybridization. Oligonucleotide microarrays (MGU74v2 A, B, and C GeneChip probe arrays; Affymetrix) were hybridized with labeled cRNA derived from spleens from individual mice. For each array,15 g of fragmented cRNA was mixed with a hybridization cocktail consisting of 1X hybridization buffer (2X hybridization buffer: 100 mM MES, 1 M [Na+], 20 mM EDTA, 0.01% Tween), 0.5 mg/ml acetylated BSA (Invitrogen), 0.1 mg/ml herring sperm DNA (Promega), and water (BioWhittaker) up to 300 l). Biotin labeled cRNA transcripts of the E. coli and P1 bacteriophage genes, BioB, bioC, bioD, and cre (GeneChip Eukaryotic Hybridization control kit, Affymetrix) were spiked into each hybridization mix at 1.5, 5, 25, and 100 pM to evaluate sample hybridization efficiency for each array. The hybridization cocktail was heated to 99C and then 45C for 5 minutes each before it was centrifuged to remove any insoluble material. The array was equilibrated to room temperature, moistened with 1X hybridization buffer, and incubated for 10 minutes at 45C with rotation. After incubation, the buffer solution was removed from the array. The array was filled with 300 l of the hybridization cocktail, placed in a rotisserie box in a 45C oven, and incubated for 16 hours while rotating at 60 rpm. Washing and staining of array. The hybridization cocktail was removed and the GeneChip Fluidics Station 400 (Affymetrix) with Microarray Suite software (Affymetrix) was used to wash and stain the probe arrays with the following protocol: 10 cycles of 2 mixes/cycle with wash buffer A at 25C, 4 cycles of 15 mixes/cycle with wash buffer B at 50C, 30 minute incubation with staining solution at 25C, 10 cycles of 4 mixes/cycle with wash buffer A at 25C. Wash buffer A -- non-stringent wash buffer (6X sodium chloride sodium phosphate + ethylenediaminetetraacetic acid (SSPE), 0.01% Tween-20). (20X SSPE: 3 M NaCl, 0.2 M NaH2PO4, 0.02 EDTA) (BioWhittaker). Wash buffer B stringent wash buffer (100mM MES, 0.1 M [Na+], 0.1% Tween 20). Staining solution (1X 2-(N-Morpholino)ethanesulfonic Acid (MES) stain buffer, 2 mg/ml acetylated BSA, 10 g/ml Streptavidin Phycoerythrin (SAPE), and water up to 600 l). (12X MES stain buffer: 1.22 M MES, 0.89 M [Na+]). Analysis. After staining, the probe arrays were scanned using the GeneChip 3000 Scanner (Affymetrix) with Microarray Suite software (Affymetrix). Technical and assay variation between arrays was corrected for by multiplying or dividing the overall intensity of each array by a scaling factor so that the overall intensity of each array was equivalent to facilitate comparison analysis.
Publication Title
Identification of candidate genes that influence sex hormone-dependent disease phenotypes in mouse lupus.
Sample Metadata Fields
No sample metadata fields
View Samples- Bos taurus
- 53 Downloadable Samples
- Affymetrix Bovine Genome Array (bovine)
Description
We studied the response to infection and associated perturbations to the bovine livers normal function by examining gene transcription data from liver biopsies collected following an E. coli infection in the udder of primiparous dairy cows. This is the first study to examine gene transcription responses to systemic infection by the E. coli bacterium in dairy cows. First, we verified that the inoculation protocol resulted in systemic infection in the cows. This was done based on records on three clinical symptoms: body temperature and amount of E. coli bacteria and leukocytes in milk samples. Second, we examined gene transcription patterns underlying the clinical traits. Gene transcription levels at times of peak values for the clinical traits were estimated in the liver to study indications of an acute phase response to systemic E. coli infection in the cows. Finally, we compared gene transcription responses to E. coli infection and lipopolysaccaride (LPS) inoculation.
Publication Title
Transcriptional profiling of the bovine hepatic response to experimentally induced E. coli mastitis.
Sample Metadata Fields
Sex, Specimen part, Time
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Using Affymetrix GeneChips, we analyzed expression profiles of SP cells from EOM and TA. 348 differentially expressed transcripts defined the EOM-SP transcriptome: 229 upregulated in EOM-SP and 119 in TA-SP.
Publication Title
Transcriptional and functional differences in stem cell populations isolated from extraocular and limb muscles.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 7 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Modeling of epigenome dynamics identifies transcription factors that mediate Polycomb targeting.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 7 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
While changes in chromatin are integral to transcriptional reprogramming during cellular differentiation, it is currently unclear how chromatin modifications are targeted to specific loci. We developed a computational model on the premise that transcription factors (TFs) direct dynamic chromatin changes during cell fate decisions. When applied to a neurogenesis paradigm, this approach predicted the TF REST as a determinant of gain of Polycomb-mediated H3K27me3 in neuronal progenitor cells. We prove this prediction experimentally by showing that the absence of REST causes loss of H3K27me3 at target promoters in trans at the same cellular state. Moreover, promoter fragments containing a REST binding site are sufficient to recruit H3K27me3 in cis, while deletion of their REST site results in loss of H3K27me3. These findings illustrate that computational modeling can systematically identify TFs that regulate chromatin dynamics genome-wide. Local determination of Polycomb activity by REST exemplifies such TF based regulation of chromatin.
Publication Title
Modeling of epigenome dynamics identifies transcription factors that mediate Polycomb targeting.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 324 Downloadable Samples
Illumina MiSeq, Illumina HiSeq 2500, Illumina HiSeq 4000
Description
Vascular smooth muscle cells (VSMCs) show pronounced heterogeneity across and within vascular beds, with direct implications for their function in injury response and atherosclerosis. Here we combine single-cell transcriptomics with lineage tracing to examine VSMC heterogeneity in healthy mouse vessels. The transcriptional profiles of single VSMCs consistently reflect their region-specific developmental history and show heterogeneous expression of vascular disease-associated genes involved in inflammation, adhesion and migration. We detect a rare population of VSMC-lineage cells that express the multipotent progenitor marker Sca1, progressively downregulate contractile VSMC genes and upregulate genes associated with VSMC response to inflammation and growth factors. We find that Sca1 upregulation is a hallmark of VSMCs undergoing phenotypic switching in vitro and in vivo, and reveal an equivalent population of Sca1-positive VSMC-lineage cells in atherosclerotic plaques. Together, our analyses identify disease-relevant transcriptional signatures in VSMC-lineage cells in healthy blood vessels, with implications for disease susceptibility, diagnosis and prevention. Overall design: This entry contains data from the following analyses: (1) Bulk RNA-seq of mouse VSMCs isolated from aortic arch (AA) and descending thoracic aorta (DT) regions in triplicates. (2) Pooled RNA-seq of mouse Sca1- VSMCs and Sca1- or Sca1+ adventitial cells in triplicates. (3) Single-cell RNA-seq of VSMCs from the AA and DT regions (143 cells). (4) VSMC lineage label positive and negative cells isolated from the medial layer of mouse aorta, which expressed or did not express the Sca1 protein (155 cells). (5) 10X single-cell RNA-seq analysis of: lineage positive plaque cells isolated from mice following 14 or 18 weeks of high fat diet feeding, cells isolated from the whole aorta and lineage positive VSMCs from the medial layer.
Publication Title
Disease-relevant transcriptional signatures identified in individual smooth muscle cells from healthy mouse vessels.
Sample Metadata Fields
Specimen part, Subject
View Samples- Mus musculus
- 34 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Reprogramming offers the possibility to study cell fate acquisitions otherwise difficult to address in vivo. By monitoring the dynamics of gene expression during direct reprogramming of astrocytes into different neuronal subtypes via the activation of Neurog2 and Ascl1, we demonstrate that these proneural factors control largely different neurogenic programs. Among the cascades induced, however, we identified a common subset of transcription factors required for both Neurog2- and Ascl1-induced reprogramming, and combinations of these factors comprising NeuroD4 were sufficient to generate functional neurons. Notably, during astrocyte maturation REST prevents Neurog2 from binding to the NeuroD4 locus that becomes then enriched with histone H4 lysine 20 tri-methylation.
Publication Title
Transcriptional Mechanisms of Proneural Factors and REST in Regulating Neuronal Reprogramming of Astrocytes.
Sample Metadata Fields
Sex, Specimen part, Treatment, Time
View Samples- Homo sapiens
- 61 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Gene expression profiling was performed for 28 DLBCL primary clinical samples and assignment of activated B-cell-like(ABC)/germinal center B-cell-like (GCB) DLBCL classes, B-cell-associated gene signature (BAGS), and a probability of response to doxorubicin was performed for each sample.
Publication Title
High miR-34a expression improves response to doxorubicin in diffuse large B-cell lymphoma.
Sample Metadata Fields
Specimen part, Disease stage, Treatment
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